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Data Science allows us to extract meaning from and interpret data.

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Why are Sensitive Functions Hard for Transformers?

Why are Sensitive Functions Hard for Transformers?

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4 min read
Increasing the LLM Accuracy for Question Answering: Ontologies to the Rescue!

Increasing the LLM Accuracy for Question Answering: Ontologies to the Rescue!

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5 min read
ColorFoil: Investigating Color Blindness in Large Vision and Language Models

ColorFoil: Investigating Color Blindness in Large Vision and Language Models

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4 min read
VecFusion: Vector Font Generation with Diffusion

VecFusion: Vector Font Generation with Diffusion

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4 min read
Transformers Can Do Arithmetic with the Right Embeddings

Transformers Can Do Arithmetic with the Right Embeddings

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4 min read
Thermodynamic Natural Gradient Descent

Thermodynamic Natural Gradient Descent

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5 min read
Can a Transformer Represent a Kalman Filter?

Can a Transformer Represent a Kalman Filter?

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4 min read
ARAIDA: Analogical Reasoning-Augmented Interactive Data Annotation

ARAIDA: Analogical Reasoning-Augmented Interactive Data Annotation

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4 min read
Self-playing Adversarial Language Game Enhances LLM Reasoning

Self-playing Adversarial Language Game Enhances LLM Reasoning

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4 min read
Attention as an RNN

Attention as an RNN

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4 min read
Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving

Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving

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3 min read
ExcelFormer: Can a DNN be a Sure Bet for Tabular Prediction?

ExcelFormer: Can a DNN be a Sure Bet for Tabular Prediction?

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3 min read
AI-Assisted Assessment of Coding Practices in Modern Code Review

AI-Assisted Assessment of Coding Practices in Modern Code Review

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4 min read
Evaluation of the Programming Skills of Large Language Models

Evaluation of the Programming Skills of Large Language Models

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3 min read
Representation noising effectively prevents harmful fine-tuning on LLMs

Representation noising effectively prevents harmful fine-tuning on LLMs

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5 min read
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